2017/2018
BABPOLO2004U Statistics

Language 
English 
Course ECTS 
7.5 ECTS 
Type 
Mandatory 
Level 
Bachelor 
Duration 
One Semester 
Start time of the course 
Spring 
Timetable 
Course schedule will be posted at
calendar.cbs.dk 
Study board 
Study Board for BSc/MSc i International Business and Politics,
BSc

Course
coordinator 
 Peter Dalgaard  Department of Finance (FI)

Main academic
disciplines 
 Statistics and quantitative methods

Last updated on
22/06/2017

Learning objectives 
To achieve the grade 12, students should meet the
following learning objectives with no or only minor mistakes or
errors: The goal of the statistics course is to raise
methodological awareness and prepare students to compare
statistical approaches with different approaches later on. Students
should develop statistical literacy and the ability to think and
reason statistically. The student should become able to:
 Use graphical and numerical methods for exploring and
summarizing data on a single categorical or quantitative
variable.
 Describe basic probability and how probability helps us
understand randomness, and explain the concept of a sampling
distribution and how it relates to inference methods.
 Choose and justify appropriate descriptive and inferential
methods for examining and analyzing data and drawing
conclusions.
 Analyze of the association between variables, categorical,
continuous and both, using contingency tables, correlation, and
basic regression analysis.
 Communicate the conclusions of statistical analysis clearly and
effectively, i.e interpret the numerical results in terms of the
original research topic.

Examination 
Statistics:

Exam
ECTS 
7.5 
Examination form 
Oral exam based on written product
In order to participate in the oral exam, the written product
must be handed in before the oral exam; by the set deadline. The
grade is based on an overall assessment of the written product and
the individual oral performance. 
Individual or group exam 
Individual oral exam based on written group
product 
Number of people in the group 
35 
Size of written product 
Max. 15 pages 
 You must apply for an exemption if you have
extenuating circumstances for wanting to write the exam in groups
with less than 3 students 
Assignment type 
Written assignment 
Duration 
Written product to be submitted on specified date and
time.
20 min. per student, including examiners' discussion of grade,
and informing plus explaining the grade 
Grading scale 
7step scale 
Examiner(s) 
Internal examiner and external examiner 
Exam period 
Summer 
Makeup exam/reexam 
Same examination form as the ordinary exam
Makeup/reexam when ill at the oral
exam or when the ordinary exam is failed based on a submitted
assignment, is an individual oral exam (20 minutes per student)
based upon the same assignment. The assignment must be resubmitted.
Makeup exam when ill during the writing of the assignment or have
failed to submit an assignment is a 20 minutes oral exam with 20
minutes open book preparation in the entire
curriculum.

Description of the exam
procedure
During the oral exam the examination may involve questions from
the entire curriculum.


Course content and structure 
Statistics is both a science in itself and a technology with
applications in almost every other branch of science. The
course emphasizes conceptual understanding rather than just
instrumental usage of statistical procedures. The focus is on
the interpretation and understanding of basic statistical
methods as applied in social sciences, business economy
and political economy.
The curriculum includes:
· Descriptive statistics, both numerical and graphical.
· The basic laws of probability, and the most important probability
distributions.
· Statistical inference; confidence intervals and significance
tests about hypotheses.
· Basic tests for means, proportions, and contingency tables.
· Simple regression analysis and basic multiple regression.

Teaching methods 
Lectures w/ discussions and exercises, computer
labs, groupwork for synopsis 
Feedback during the teaching period 
There is no written feedback on the Exam
Assignment. Oral feedback is given after the exam as time permits.
We try to offer feedback in response to questions whenever feasible
within time constraints. The strongest (and bidirectional) feedback
mechanism for this course is probably the computer labs where
students can get help with operating statistical software and
interpreting the output.
Students are encouraged to take advantage of the ‘office hours’
offered by fulltime staff members (in weeks where they teach),
although these can never be a substitute for participation in
lectures and classes. We also encourage students to ask questions
or make comments in class and form selfstudy groups to secure peer
feedback on your work.

Student workload 
Preparation time (readings, group work etc.) 
104 hours 
Lectures / class exercises / “homework cafés” / workshops
etc. 
52 hours 
Exam (incl. preparation for the exam and actual exam
period) 
50 hours 

Expected literature 
Main book: Agresti A., C. Franklin (2013): “Statistics: The Art and
Science of Learning from Data”, 3rd. ed., Pearson. 
Software Package: SAS JMP
This is a sample of the literature that will be used. A
comprehensive reading list can be found in the course plan that
will be published on CBS Learn before classes
begin.


Last updated on
22/06/2017